The five trademarks of agile organizations

Here is a brief excerpt from an article written by Wouter Aghina, Aaron De Smet, Gerald Lackey, Michael Lurie, and Monica Murarka for the McKinsey Quarterly, published by McKinsey & Company. To read the complete article, check out other resources, learn more about the firm, obtain subscription information, and register to receive email alerts, please click here.

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Agile organizations—of any size and across industries—have five key elements in common.

This article was written collaboratively by the McKinsey Agile Tribe, a group of over 50 global colleagues bringing expertise from the digital, operations, marketing, and organization disciplines. They integrate their deep experience and thought leadership to extract the best from McKinsey’s global experience as it helps organizations transform themselves into agile organizations.

Our experience and research demonstrate that successful agile organizations consistently exhibit the five trademarks described in this article. The trademarks include a network of teams within a people-centered culture that operates in rapid learning and fast decision cycles which are enabled by technology, and a common purpose that co-creates value for all stakeholders. These trademarks complement the findings from “How to create an agile organization.”

The old paradigm: Organizations as machines

A view of the world—a paradigm—will endure until it cannot explain new evidence. The paradigm must then shift to include that new information. We are now seeing a paradigm shift in the ways that organizations balance stability and dynamism.

First, the old paradigm. In 1910, the Ford Motor Company was one of many small automobile manufacturers. A decade later, Ford had 60 percent market share of the new automobile market worldwide. Ford reduced assembly time per vehicle from 12 hours to 90 minutes, and the price from $850 to $300, while also paying employees competitive rates.

Ford’s ideas, and those of his contemporary, Frederick Taylor, issued from scientific management, a breakthrough insight that optimized labor productivity using the scientific method; it opened an era of unprecedented effectiveness and efficiency. Taylor’s ideas prefigured modern quality control, total-quality management, and—through Taylor’s student Henry Gantt—project management.

Gareth Morgan describes Taylorist organizations such as Ford as hierarchical and specialized—depicting them as machines.2 For decades, organizations that embraced this machine model and the principles of scientific management dominated their markets, outperformed other organizations, and drew the best talent. From Taylor on, 1911 to 2011 was “the management century.”

Disruptive trends challenging the old paradigm

Now, we find the machine paradigm shifting in the face of the organizational challenges brought by the “digital revolution” that is transforming industries, economies, and societies. This is expressed in four current trends:

Quickly evolving environment. All stakeholders’ demand patterns are evolving rapidly: customers, partners, and regulators have pressing needs; investors are demanding growth, which results in acquisitions and restructuring; and competitors and collaborators demand action to accommodate fast-changing priorities.

Constant introduction of disruptive technology. Established businesses and industries are being commoditized or replaced through digitization, bioscience advancements, the innovative use of new models, and automation. Examples include developments such as machine learning, the Internet of Things, and robotics.
Accelerating digitization and democratization of information. The increased volume, transparency, and distribution of information require organizations to rapidly engage in multidirectional communication and complex collaboration with customers, partners, and colleagues.

The new war for talent. As creative knowledge- and learning-based tasks become more important, organizations need a distinctive value proposition to acquire—and retain—the best talent, which is often more diverse. These “learning workers” often have more diverse origins, thoughts, composition, and experience and may have different desires (for example, millennials).

When machine organizations have tried to engage with the new environment, it has not worked out well for many. A very small number of companies have thrived over time; fewer than 10 percent of the non-financial S&P 500 companies in 1983 remained in the S&P 500 in 2013. From what we have observed, machine organizations also experience constant internal churn. According to our research with 1,900 executives, they are adapting their strategy (and their organizational structure) with greater frequency than in the past. Eighty-two percent of them went through a redesign in the last three years. However, most of these redesign efforts fail—only 23 percent were implemented successfully.

The new paradigm: Organizations as living organisms

The trends described above are dramatically changing how organizations and employees work. What, then, will be the dominant organizational paradigm for the next 100 years? How will companies balance stability and dynamism? Moreover, which companies will dominate their market and attract the best talent?

Our article “Agility: It rhymes with stability” describes the paradigm that achieves this balance and the paradox that truly agile organizations master—they are both stable and dynamic at the same time. They design stable backbone elements that evolve slowly and support dynamic capabilities that can adapt quickly to new challenges and opportunities. A smartphone serves as a helpful analogy; the physical device acts as a stable platform for myriad dynamic applications, providing each user with a unique and useful tool. Finally, agile organizations mobilize quickly, are nimble, empowered to act, and make it easy to act. In short, they respond like a living organism (See Exhibit 1).

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Here is a direct link to the complete article.

Wouter Aghina is a partner in McKinsey’s Amsterdam office; Aaron De Smet is a partner in the Houston office; Gerald Lackey is a senior expert in the Washington DC office; Michael Lurie is a senior expert in the Los Angeles office, and Monica Murarka is a senior knowledge manager in the San Francisco office.

The authors would like to thank the following contributors: Karin Ahlbäck, Clemens Fahrbach, Christopher Handscomb, Olli Salo, Elizabeth Seem, and Janice Woxholth.

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